Cart (Loading....) | Create Account
Close category search window
 

Systematic architecture exploration based on optimistic cycle estimation for low energy embedded processors

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

7 Author(s)
Taniguchi, I. ; Grad. Sch. of Inf. Sci. & Technol., Osaka Univ. Japan, Suita ; Jayapala, M. ; Raghavan, P. ; Catthoor, F.
more authors

Systematic architecture exploration from vast solution space is a complex problem in embedded system design. It is very difficult to explore a best architecture fast and accurately because accurate evaluation usually consumes significant amount of time for point in the solution space. In this paper, we propose fast and systematic architecture exploration method for address generation unit (AGU) based on a coarse grained reconfigurable architecture model. First we prove that a set of Pareto solutions of cycle vs energy becomes a subset of Pareto solutions of cycle vs area under some practical assumptions. In addition we propose ldquoOptimistic cycle (OC)rdquo metric to find out promising solutions from vast solution space. Based on this metric we also propose a fast architecture exploration algorithm which only applies mapping to promising architectures. Using the proposed systematic architecture exploration method, we show that we can obtain almost the same trade-off points as the exhaustive search method and also that our method is about 164 times faster than exhaustive search.

Published in:

Design Automation Conference, 2009. ASP-DAC 2009. Asia and South Pacific

Date of Conference:

19-22 Jan. 2009

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.